Evolutionary Biology from an Information Theory Approach
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Evolutionary Biology".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1013
Special Issue Editor
Special Issue Information
Dear Colleagues,
The mathematical theory of information began with the publication by the mathematician Claude Shannon of an article in 1948 where he formalizes the process of information exchange in message communication. It soon became clear that the theory had much broader applications. In biology, it was adopted by ecology and population genetics to measure species diversity, and more recently, it has had a significant impact in fields such as neurobiology and bioinformatics. In evolutionary biology, the basic equations of population genetics describing changes in gene frequency can be reformulated in terms of information. Additionally, the connection of information theory with the evolution of biological complexity and molecular biology has also been described. Recent studies seem to show that information theory may be the appropriate framework to describe evolutionary processes.
This Special Issue aims to contribute to the theoretical development of certain aspects of population genetics from the perspective of information theory. The objective is related to the connection between information and biological evolution. This relationship can be studied at various levels, such as information and changes in gene frequencies within the population, the organization of nucleotide sequences in DNA, information accumulated through natural selection, information in animal behavior, in the evolution of plants, in ecosystem interactions, and so on.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: any aspect of evolutionary biology connected with information theory.
I/We look forward to receiving your contributions.
Prof. Dr. Antonio Carvajal-Rodríguez
Guest Editor
Manuscript Submission Information
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Keywords
- evolution
- population genetics
- information
- Kullback–Leibler
- Jeffreys divergence
- population stability index
